Healthcare Informatics Research

Building Consensus on the Priority-Setting for National Policies in Health Information Technology: A Delphi Survey: Mona Choi, Mihui Kim, Jung A Kim, Hyejung Chang; Healthc Inform Res. 2020;26(3):229-237. Published online July 31, 2020; DOI: https://doi.org/10.4258/hir.2020.26.3.229
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Keyword Trends for Mother–Child Oral Health in Korea Based on Social Media Big Data from Naver: Jung-Eun Park, Ja-Won Cho, Jong-Hwa Jang; Healthc Inform Res. 2020;26(3):212-219. Published online July 31, 2020; DOI: https://doi.org/10.4258/hir.2020.26.3.212
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Quantified Self-Using Consumer Wearable Device: Predicting Physical and Mental Health: Bens Pardamean, Haryono Soeparno, Arif Budiarto, Bharuno Mahesworo, James Baurley; Healthc Inform Res. 2020;26(2):83-92. Published online April 30, 2020; DOI: https://doi.org/10.4258/hir.2020.26.2.83
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PACS Implementation Challenges in a Public Healthcare Institution: A South African Vendor Perspective: Romain Abbas, Yashik Singh; Healthc Inform Res. 2019;25(4):324-331. Published online October 31, 2019; DOI: https://doi.org/10.4258/hir.2019.25.4.324
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Integrating Genetic Data into Electronic Health Records: Medical Geneticists' Perspectives: Haleh Ayatollahi, Seyedeh Fatemeh Hosseini, Morteza Hemmat; Healthc Inform Res. 2019;25(4):289-296. Published online October 31, 2019; DOI: https://doi.org/10.4258/hir.2019.25.4.289
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Stacking Ensemble Technique for Classifying Breast Cancer: Hyunjin Kwon, Jinhyeok Park, Youngho Lee; Healthc Inform Res. 2019;25(4):283-288. Published online October 31, 2019; DOI: https://doi.org/10.4258/hir.2019.25.4.283
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Artificial Intelligence Applications in Type 2 Diabetes Mellitus Care: Focus on Machine Learning Methods: Shahabeddin Abhari, Sharareh R. Niakan Kalhori, Mehdi Ebrahimi, Hajar Hasannejadasl, Ali Garavand; Healthc Inform Res. 2019;25(4):248-261. Published online October 31, 2019; DOI: https://doi.org/10.4258/hir.2019.25.4.248
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Prediction and Staging of Hepatic Fibrosis in Children with Hepatitis C Virus: A Machine Learning Approach: Nahla H. Barakat, Sana H. Barakat, Nadia Ahmed; Healthc Inform Res. 2019;25(3):173-181. Published online July 31, 2019; DOI: https://doi.org/10.4258/hir.2019.25.3.173
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Clinical Decision Support Functions and Digitalization of Clinical Documents of Electronic Medical Record Systems: Young-Taek Park, Yeon Sook Kim, Byoung-Kee Yi, Sang Mi Kim; Healthc Inform Res. 2019;25(2):115-123. Published online April 30, 2019; DOI: https://doi.org/10.4258/hir.2019.25.2.115
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Health Information Technology Trends in Social Media: Using Twitter Data: Jisan Lee, Jeongeun Kim, Yeong Joo Hong, Meihua Piao, Ahjung Byun, Healim Song, Hyeong Suk Lee; Healthc Inform Res. 2019;25(2):99-105. Published online April 30, 2019; DOI: https://doi.org/10.4258/hir.2019.25.2.99
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Design and Validation of a Computer Application for Diagnosis of Shoulder Locomotor System Pathology: Albert Bigorda-Sague, Javier Trujillano Cabello, Gemma Ariza Carrio, Carmen Campoy Guerrero; Healthc Inform Res. 2019;25(2):82-88. Published online April 30, 2019; DOI: https://doi.org/10.4258/hir.2019.25.2.82; Full text PubReader PDF Supplementary Material

Analyzing and Visualizing Knowledge Structures of Health Informatics from 1974 to 2018: A Bibliometric and Social Network Analysis: Tahereh Saheb, Mohammad Saheb; Healthc Inform Res. 2019;25(2):61-72. Published online April 30, 2019; DOI: https://doi.org/10.4258/hir.2019.25.2.61
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Preferences of ICT among Patients with Chronic Kidney Disease Undergoing Hemodialysis: An Ecuadorian Cross-Sectional Study: Ivan Cherrez-Ojeda, Miguel Felix, Valeria L. Mata, Emanuel Vanegas, Antonio W. D. Gavilanes, Peter Chedraui, Daniel Simancas-Racines, Juan Carlos Calderon, Fabian Ortiz, Guillermina Blum, Angela Plua, Gino Gonzalez, Grace Moscoso, Walter Morquecho; Healthc Inform Res. 2018;24(4):292-299. Published online October 31, 2018; DOI: https://doi.org/10.4258/hir.2018.24.4.292
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Self-management of Chronic Conditions Using mHealth Interventions in Korea: A Systematic Review: Jae Yoon Yi, Yujin Kim, Yoon-Min Cho, Hongsoo Kim; Healthc Inform Res. 2018;24(3):187-197. Published online July 31, 2018; DOI: https://doi.org/10.4258/hir.2018.24.3.187
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Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFA: Akash Gupta, Tieming Liu, Scott Shepherd, William Paiva; Healthc Inform Res. 2018;24(2):139-147. Published online April 30, 2018; DOI: https://doi.org/10.4258/hir.2018.24.2.139
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